测绘通报 ›› 2020, Vol. 0 ›› Issue (4): 139-142,146.doi: 10.13474/j.cnki.11-2246.2020.0128

• 技术交流 • 上一篇    下一篇

土地利用时空变化与城市化发展分析

谭远模1, 谢思梅2, 谢荣安1   

  1. 1. 广东省地质测绘院, 广东 广州 510800;
    2. 广州市城市规划勘测设计研究院, 广东 广州 510060
  • 收稿日期:2019-07-01 修回日期:2019-08-24 出版日期:2020-04-25 发布日期:2020-05-08
  • 通讯作者: 谢荣安。E-mail:13902396961@139.com E-mail:13902396961@139.com
  • 作者简介:谭远模(1976-),男,工程师,主要从事3S技术应用及质量检查。E-mail:976910998@qq.com

Analysis of spatial and temporal change of land use and urbanization development

TAN Yuanmo1, XIE Simei2, XIE Rongan1   

  1. 1. Guangdong Geological Surveying and Mapping Institute, Guangzhou 510800, China;
    2. Guangzhou Urban Plnnning and Design Survey Research Institute, Guangzhou 510060, China
  • Received:2019-07-01 Revised:2019-08-24 Online:2020-04-25 Published:2020-05-08

摘要: 城市化发展与科学合理利用土地已经成为社会发展最为关注的问题。土地利用结构发生变化后,不合理的土地利用规划等问题将会导致一系列的生态环境问题,因此,监测土地利用的时空变化,为土地利用规划及城市发展规划提供有效的数据支持很有必要。本文通过年度区间土地利用变化数据,利用转移矩阵、动态度、土地利用重心及土地利用结构信息熵分析土地利用变化情况,经过试验表明能够真实、全面反映土地利用变化状态,充分反映城市发展与土地利用关系,有利于提高分析的准确性和可靠性。

关键词: 土地利用, 时空变化, 城市发展, 转移矩阵, 动态度

Abstract: The development of urbanization and using land scientifically and rationally have become the most concerned issues in social development. The change of land use structure and unreasonable land use planning will lead to a series of ecological environment problems. Therefore, it is necessary to monitor the spatial-temporal change of land use and provide effective data support for land use planning and urban development planning. In this article, through the annual range of land use change data, the situation of land use change is analyzed by using the transfer matrix, dynamic attitude, center of land use and land use structure information entropy. Experiments showed that it can reflect truly and comprehensively the status of land use change, fully reflect the relationship between urban development and land use. It is useful for improving the accuracy and reliability of the analysis.

Key words: land use, spatial and temporal change, urban development, transfer matrix, dynamic degree

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